{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch import nn\n",
    "import torch\n",
    "# 定义模型\n",
    "class Model(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Model, self).__init__()\n",
    "        self.lstm = nn.LSTM(input_size=1, hidden_size=6, num_layers=5, batch_first=True)\n",
    "        self.line = nn.Linear(in_features=6, out_features=1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        # x is input, size (batch_size, seq_len, input_size)\n",
    "        x, _ = self.lstm(x)\n",
    "        # x is output, size (batch_size, seq_len, hidden_size)\n",
    "        x = x[:, -1, :]\n",
    "        x = self.line(x)\n",
    "        x = x.view(-1, 1, 1)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = Model()\n",
    "model_status = torch.load(\"./model2.pth\",map_location='cpu')\n",
    "model.load_state_dict(model_status)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import joblib\n",
    "data = pd.read_csv(\"./心衰竭心电数据15000.csv\",usecols=[\"x\"])\n",
    "# 归一化处理\n",
    "transer = joblib.load(\"./MinMaxScaler.pkl\")\n",
    "data_new = transer.fit_transform(data)\n",
    "def create_dataset(data:list, time_step: int):\n",
    "    arr_x, arr_y = [], []\n",
    "    for i in range(len(data) - time_step - 1):\n",
    "        x = data[i: i + time_step,0].tolist()\n",
    "        y = data[i + time_step,0].tolist()\n",
    "        arr_x.append(x)\n",
    "        arr_y.append(y)\n",
    "    return np.array(arr_x), np.array(arr_y)\n",
    "\n",
    "time_step = 8\n",
    "X, Y = create_dataset(data_new, time_step)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import TensorDataset, DataLoader\n",
    "X = torch.tensor(X.reshape(-1, time_step, 1), dtype=torch.float)\n",
    "Y = torch.tensor(Y.reshape(-1, 1, 1), dtype=torch.float)\n",
    "# 构建迭代器\n",
    "batch_size = 100\n",
    "tdatas = TensorDataset(X, Y)\n",
    "dloader = DataLoader(tdatas, batch_size=batch_size, num_workers=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "y_pred = []\n",
    "for data in dloader:\n",
    "    x,_ = data\n",
    "    y_pred += model(x).detach().numpy().squeeze().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_true = Y.numpy().squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20118f66d90>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.Figure(figsize=(80, 8), dpi=120)\n",
    "plt.plot(y_true[1000:1100], color=\"b\")\n",
    "plt.plot(y_pred[1000:1100], color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2011c174f70>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gcOFL2nUJAUB8vPQEHTgA7Mppge4AW1jIBltYiIgqg02bpHh22jTLodRU89wlcDJhXGnqV4phNEq9iV8n6RIy/LMP/iof/v6wPEoMKxcuAGlpsm+Zkldooev3JHMLy/79nrt5qvQYWIiIKoN586Q25fPPLYd+/10G07RvDzRoYD6Yna0vKlTa+pWSxMXJ0J/8fPe7bbTWlQYNZDkAK1pgmZcoRb04exY4f76MN0tVBQMLEVFlsG6dbA8elInX4KQ7aN06ma2tUSO9eNXTDAa3Zry18d13snWwGGP//lIDs+d4TeQ3NA8v0hYjomqPgYWIyNdlZAA7d+rP16yBUiWsH3TddXaztXmYFlhcXFMIgLSYfPSR7D/xRJGXa9aUaWMA4FS4eVgSAwuZMbAQEfm6DRtsZ5VdswZ79gCnT8tEtjYLMZdT/UoR7a1mvHXV229Ll1W3blLF64DWWpSYYw4s2uqJVO0xsBAR+bq1a2Vbr55s//zT0h3Uvz8QHGw+78IFYJt52E55BxZ3W1hSU4EZM2R/8mSnrT9aa9Hyk+aZ6tjCQmYMLERE5UkpaQopC61+5cknZbtnDzb8nArArn5l2TL5em3aADExZfuaJdECy5EjEpRK8vbbsshQ167AzTc7Pa1jR6B+fWBbHruEyBYDCxFReZo6FWjYEHjxRbffqhSA3FwZ0gwAt99umSPfuF5aXWwCyzffyFZbabk81a8v098qBYwZY75ZJ86fBz78UPZfeKHY2hqjUVpZ9qGNHDh7VlpnqNpjYCEiKk9r1sj2pZeA2bNdeotSMnNtixZA5upEICdH5t5v1Ur6gAD0KliDRo2A1uYRwLhwAVi6VPb/9S8PfxNOfPaZTLwyf74syezMO+/IYomdOwODBpV42YEDgSzUxKnAeDnAOhYCAwsRUfk6ckTfHzUK+PXXEt9y6JDMsXL4MLBzhrk7qE8faZno1w8A0B9/YuBAq8aKH36QeVE6dNBXKixvPXtKEAOklcXR6soXLgDTp8t+Ca0rGq2IeGc+61hIx8BCRFReCguBY8dk/4Yb5Pndd8taP8XQCmoBIO8Pc8Gt9lvc3MLSCTtwS580/UStO6iiWlc0zz4rIerSJWDYMAlNmsuXgeeflzn9O3YEBg926ZLavHS7FetYSMfAQkRUXk6dkl/gAQHAwoXSz5OdLUWn1i0vdrTAYoAJnbLWyxNzYDlR0AAH0AJGKFwXvF7/OqtXy/6995bTN+OEn590B0VESK3Nyy/LxHaTJknymDVLznOxdQWQ09q0AfaAgYV0DCxEROVFCyXx8TL2+PvvZfXks2eltcFBoWpeHrBqlezf32UvauMicvxCLasuL18OrIF0C9Xa9qec+O23cq2rrgIaNy7f78mRuDjg449l/7XX5B5efVWKZRs3BmbOlIJhN7RrZxVYWMNCYGAhIio/WmDRFvkLC5MalqAgmXBNW1fHyl9/yejfqChg6k3SHbS+sBdOpgQAkMDyJ6RbyFLQ+7//yXbo0HL7Vkp0993Agw/KBHf5+UDv3jIN/6FDwGOPuT3rbtu2JY8UWrAA+PlnD9w7VQoMLERE5UULLE2a6MdiYmS0DKAPV7aidQcNGADEHJGC27Xog9mzpQRmxQq9hQVbtwI7dsjWzw+4665y+kZcNHOmdAFt2gSsXw8MGSJLOJdCu3ZANmrgZEC8HLDrFjp5UvLZbbcBSUllu22qHBhYiIjKy9GjstVaWDQ9e8p28+Yib7EOLNoMt2vRF598IjP0X7wIpIc3hmrcWBLM44/LGxISZG4UbwoOBh59FOjRo8yX0gY67SxwXMeyaZP0gplMwCeflPnLUSXAwEJEVF7su4Q02i90u8CSkgJs3y77N7RNAk6cgPLzw9H6VyI5Wc8m110HGMzDmy3T9lf06KByFhcHhIY6Hym0ZYu+P3u21P5Q1cbAQkRUXkoKLNu32/ym/f132XbuDNTdJ0HE0KUL7nu0huV0wDy7rXl4MwBp2bjtNg/fvHcZjdLK4qzw1jqwnD0L/PhjBd4ceQUDCxFRebh0SX6TAkUDS7NmQO3aElb+/tty2FF3EPr2xSOPSImKZsAA2AaWW26Rgt4qpm1bYC+KTh5nMulT2Wg57aOPHF+jsFAeVPkxsBARlQetfqV2bSA83PY1g0FvZTEX3ppMMgIIMLegaAse9u2LRo2AW2+Vpy1byihpNGsGNGokB705OqgctWtnNVLo3Dl5ADh4EMjIkIal99+XMLd2LbDrbyXVuGYXL8pai82aAenp3vgOyJMYWIiIyoOz7iCNXR3L339LDUuNGkDvRknSomAwyJT8AP77X6nr0BZshsEAzJsHvPtulesO0rRtax4pFGgeZWVuZdG6gzp3ls9Em+JlxxOfA7GxwIsvoqAAuOceYOdO4Pjx4pc6osqBgYWIqDy4GVi01pWrrwaCliyUJ337yqKHALp0kV+8jz1mdY1+/YBx46TgowqyjBTKt61j0QJL9+6yHT1atoHrVsrOlCl448G9WLFCv9ZHHxW/oDT5vqr5r5yIyNu0LiHrOVisaYHln3+A9HRL/crAgZBp/AG3Z4etauLjgZAQYLeyrWOxDyxXXy2rVjcr2C8HCgrQe95oAApffCGtVvv2AX/+WYE3Tx7HwEJEVB5KamGpV88SZi6v3WIpWbmp+zm94LaaBxajseiaQvn5+mgpLfMZDMDoUQotcQAAUAgjrsafWDRkHoYPB+67T85zVphLlQMDCxFReSgpsACW37jHv9uMvDxZdqfp7sVSgduli3fWBfIxNmsK7dmDPXuAnBypY27eXD9v+MBkhCEThTDiZbwAALh1zVPAxYsYNUrOWbgQOH265K+Znw9MmQJs3Ojhb4bKhIGFiMjTTCbns9xaM894m71K6lhuuAEwLDRPKHLHHeV5h5WGtqaQCQYgNRW7VspQ8W7dbEt3ws5Id9BRNMHyLhNhatUahrNngf/+Fx07yrqQBQXAp5+W/DU/+USKnBMSbEadk5eVKrDMmDED8fHxCA4ORs+ePbHZwfTSmtmzZ6Nv376IjIxEZGQkEhISipx/6dIljB07Fo0aNUJISAjatm2LWdqS5ERElU1ysjQD+PnJqBVnzC0sDU5sAqDw77sy9Nnjqnl3kKZtW+AyQnE6MB4AkLJKCm+1+hWL/RJYAtq1wi/LA2Gcae7/mTkT2LrVUpj78cfSguKMUnrXUVaWDCc3j6YmL3M7sCxYsADjx4/H5MmTsW3bNnTs2BEDBw7EWW2CJDurV6/G0KFDsWrVKmzYsAGxsbEYMGAATp06ZTln/PjxWLp0Kb7++mvs27cP48aNw9ixY7F48eLSf2dERN6idQfFxQEBAc7P69wZJqMfGiAZA9udQrezS2QyuZYtpXiD0M7cG6StKVSwYzcA54Gl8YBWqFMHwDXXAMOGSQK55RbcO60jjhmbYvvp+lCRkU6bWtaskcFINWrI/C3Hj0tjF6f+9wHKTT169FBjxoyxPC8sLFQxMTFq6tSpLr2/oKBA1apVS82dO9dyrF27durll1+2Oa9Lly7q+eefd/m+0tPTFQCVnp7u8nuIiMrF3LlKAUpdd12xpxUWKrUnsJNSgFrx2PdK3X23vO/ZZyvoRn1fQYFSwcFKvYLnlQLUZ4aRClAqKcnuxJtvls9u1iz92JkzSkVEyHH7R4sWSplMRb7eXXfJy48+qtTevUqFhcnzkSMdnk4e4Orvb7daWPLy8pCYmIiEhATLMaPRiISEBGzYsMGla2RnZyM/Px+1a9e2HOvduzcWL16MU6dOQSmFVatW4cCBAxgwYIDT6+Tm5iIjI8PmQUTkE+yGNOfmOj5txQpgTZ7UsfQ3rAGWLJEX2B1k4ecnjU2J6AoA6Ky2ISpKn+TXwtzCgpYt9WPR0TKH/48/AsuX48yPG9DdsBU5CJLpcu3WJzp9Wh9RPmqUfN0FC6RWZs4c4L33PPM9Ofv3QMVzK7CkpqaisLAQUVFRNsejoqKQnJzs0jUmTJiAmJgYm9Azffp0tG3bFo0aNUJgYCBuuOEGzJgxA/201UgdmDp1KsLDwy2P2OL6iYmIKpLVCKG335buBUc9EB99BGyG1LEEzP1U1h9q1EgqSsmibVtgG7oAAK7AbvTqkguDweqEvDw9JLZqZfvmZs0kAF5/PRrcfiViBnXFClwPAFA/2K6Y+OmnUph71VVAx45y7IYbgLfflv3/+z/gt9/K9r3Mnw/UrCmTFJN7KnSU0LRp0zB//nwsXLgQwcHBluPTp0/Hxo0bsXjxYiQmJuLtt9/GmDFj8LtWfObAxIkTkZ6ebnmcOHGiIr4FIqKSmQNLfmxTTJsmi++NGgWsWqWfcvw48MsvemBBdrZsb7utys5cW1pt2wJJiEMq6iAABbgpdpftCYcPy4dcsybQoEGx13rmGeAng7RgnZu90HI8P18KcgF95lzNE08A//63DP66916ZhK60liyRULRokd0LnIa3RG79X1G3bl34+fkhJSXF5nhKSgqio6OLfe9bb72FadOmYfny5ejQoYPl+OXLl/Hcc8/hnXfewaBBg9ChQweMHTsW99xzD9566y2n1wsKCkJYWJjNg4jIJ5gDy+9HmiI1VQ4VFABDhgCHDsnzTz6RX4Ax17aRX7QaDmcuQgpvDZZWll5B22xPOCATxqFVK9g2vRR11VVA1xcHoRBG1D+5HWvmSsvMzz9Ll1C9esCdd9q+x2CQ1rC+fWXRxUGDgPPnS/e9aD1XO3daHbzmGul/uny5dBetJtwKLIGBgejatStWrlxpOWYymbBy5Ur06tXL6fveeOMNvPLKK1i6dCm62TV15ufnIz8/H0a7vyj8/PxgMpncuT0iIu+7fNkyO9kHv8gcLBMnygjmCxf0YbJaF9FjY/z0LqA6deS3ItnQ1hTSAkuzDLvA4qh+pRiPTaqHg9FScrD0sUX45x99KPNDDwFBQUXfE/jTd1gReiv+FbUShw8Dd99d/PBoR5TSs9WhQzJsGhcvAqtXy/dgXrmbnHC3mnf+/PkqKChIffHFF2rv3r3qkUceURERESo5OVkppdT999+vnrWqcJ82bZoKDAxU33//vTpz5ozlkZmZaTmnf//+ql27dmrVqlXqyJEj6vPPP1fBwcHqo48+cvm+OEqIiHzC3r1KAaqgZpgCTMrfX6nTp+XRsKGMOImLk21MjFL5+Uqp//5XDvz7396+e59UUKBUUJBSQ/CtfE7dutmeMHKkHH/xRZevmf/2+0oBag36qNhYebvBoNSxY05uIDraMsJogf9QFY3TatQo976PlBTbgUobNiilEhP1Ay6Otq1qXP397XZgUUqp6dOnq7i4OBUYGKh69OihNm7caHmtf//+avjw4ZbnjRs3VgCKPCZPnmw558yZM+rBBx9UMTExKjg4WLVq1Uq9/fbbyuTGGDIGFiLyCb/8ohSgjtfppAAZqazZulWpkBD999NLL5lfyMhQ6v33lbpwwSu3XBl07KhUUxySDy4wUKm8PP3Fq66S49984/oFk5KUAlQhDKo+khWg1KBBTs794w+5flCQUkajUoBKRy31H7yv7r4jXz38sLI8nn5aqYsXHV9mzRrbwDJzplLq++/1A4MHu37/VUi5BhZfxMBCRD7hgw+UAtQiv9sVoNTq1bYvL1ggv5sCApQ6dco7t1gZPfSQUoBJ5YSEywe4Y4f+Yt26cmzbNvcu2q2bUoAaG/ixApRautTJeY88Itd/6CFpEenRwxIyFuMWBZhsgsgbbzi+zKef2gaWxx5TSr35pn4gKqpaTvZSLvOwEBFRCczDaw8WNkXbtoD97Ax33w0sXSpzsMTEeOH+KqmpU4EvvzQgoKfUsSAxUbYXLsBS2dyihXsXNRc4T+m2EAsWAAMHOjgnPx/44QfZv+ceWZRywwaoWR+jMCAIg/AL5j2wDK+8Atx0k5y2bZuD60AvtalfX7Y7d0Ifjg0AKSkyfIwcYmAhIvIgZR4hdARNMXq040ErAwcC/ftX8I1VcnXrAvffDxi7mgOLlgq0KtaGDW1HW7nCPEFf2JaVuHtguuNz/vhDhgTVqwdcfbUcMxphePQR+D0+FgDwr13P4b/PmTBmjLxsMwLIinarQ4bI9u+/AXXkqO1JLk7CWh0xsBAReVDWLgksp4Oa4v77vXwzVVFXmfHWEli0Zgv7CeNc0bq1PPLzgV9/dXzO/PmyvesuwN/f9rVnnwVq1QK2bwe+/94y2dz+/Y5HKGu3esstMhIpKwvIP2AOLNpQqI0b3f8+qgkGFiIiT1EK/sclsHS8vSk4PVQ56GJuYdmxQyaLK0tgAfR5b378sehrubn6XP333FP09bp1gaeekv1JkxBTvwB16sj8Onv22J5aUCDz2wGSTa64AgAU/E4ek4NDh8q2nAOLVjBTGTGwEBF5SOq+cwguzIIJBgx5qrG3b6dqatFCun4uXwb++cftOViK0NZt+u0388QoVpYtA9LTpdioTx/H7x8/XoLLgQMwzP3C0spi3y107Jg05ISEALGxMvV/NJLhl5cjMxvffbecuH07kJNTuu/FBe+/LwuI20z5cuaMXgfkwxhYiIg85Pj6kwCAc37RaN/NwexjVHZGI9C5s+xv22Y7y21pdO0KxMfL0ggjR0rziGbBAtnefbfz5RJq1QKee072X3oJ3a6QsGEfWLRc1aKFXKpjR6AJzN1BjRrJC/XrS6rZvr1034sL5syRhqmlS80H0tKADh1kCmAfb3phYCEi8pCLR9MAANnBtYs/kcpG6xbaskVWXQZKH1gMBuCzz6TZ4dtvZbEhQALM4sWy76g7yNqoURI6Tp7EkHMzARQNLFqu0hqCbAJLkyZyH9qM8eVUeHvxIrB7t+yfPGk+uH69tK4cOCAjrnwYAwsRkYdknkgDAOSHRnj1Pqo8LbD89JPUmQQGAo3L0AV37bUSWgBZmvmDD2SVwkuX5Lo9exb//uBgYPJkAEDnpa+hN9bjyI4MmwYL+1KbDh30wJIb00QOXnmlbMupjuWvv/RGFEtg+esv/QQfH1LNwEJE5CFZp9IAAKbwCK/eR5WnjRRKSpJt8+aAn1/Zrnn//cBrr8n+uHHA88/L/j33lLigIgDgwQeBli3hfzEV69EHJzLCUdgoTiZn+eqrIi0skZFA+xoSWM4EV0xgWbdO3z9xwrxjHVi0z9NHMbAQEXlI3tk0AIAxMsKr91HltWol1avWzz3h2WeBRx+1XaWwpO4gjb8/8P33wE03ISWgoRw6fUKKeUeORNK+rCK32iZEAsuBfHNg6dZNClxOnABOnfLIt2Rt7Vp9/+RJSL3M5s36QQYWIqLqofBCGgAgoF6EV++jyvP3Bzp10p97KrAYDMCHH8pEKYAUwmoFvq5o3x749Vc8fe9JROICPv/3OiAqCigoQHSyFNJaD2aKLZDAknjBHFhq1pS+IsDjKzfn5EjJjyY9Hcj6a6fU6mgYWIiIqgdDWhoAICQmwqv3US1odSyA5wILIGFo/nzg1VeBr792rTvITqdOQBoi8cvFqyyFtD2wGfXqSVcQACA/HxEZEhD+TGqiv1nrFvJw4e2WLUBenuSn8HA5lrnsL9uTGFiIiKq+3Fwg8HIaAKBWowiv3ku1YB1YSjsHizM1akgNS48epXq7zVws3bsDALpji22uOnECBpMJOQjCnwcaoKDAfLyc6li07qC+fWUeGAB6/Yp9TZCPYmAhIvKA06eBCKQBAELZwlL+tF+ygGdbWDxACyyHDwPZV0jo6YHNtrnKvOhhkiEeOXlGyygiS2DZulVqTDzEOrA0aiT7NXeZA8u998qWo4SIiKq+Eyf0wGJg0W35u+IKmaX2wQeBOnW8fTc26tbVV+LeFdQNANAMR9Cx0Xn9JHNgOR8u3UGWeVtatJB+o5wcWR3RAwoL9caUPn0ksDTCCdS8cEJGV2mrMSYnS1Ohj2JgISLygJMn9cCCiAhv3kr14Ocn6/98/rm378QhrZUl8XAEjge1ACDdQhbmwJIXYxdYjEaPdwvt2gVkZMikvB07SpdQL2zQb7RxY33UlWWCFt/DwEJE5AEMLGTNuo5lQ6F0CzW/WDSwBLW2CyyAxwOL1h3Uu7fkvEaNgN74Sz9oMABxcfLch+tYGFiIiDzAukuIgYW0UddLlwIbCqTwts5hqzlPzIGldlcJLDt2WL1ZG0rtoS4hbcI4bf3GIoEFYGAhIqouTicVIAyZ8oSBpdrTWliSkoDNkBYWY+IWfW58c2CJ7dcEBgOQkmI1V1z79rLdt6/MhbdK2RbcAkBsnWx0hnmBRfvA4sOFtwwsREQekJaUoT/RJrqgaqtFC70sZAc6ocDgL6nkxAmZrC0lBQAQ0raJZYT277+b39y4sRSc5OfrM+6W0tGjwJkzsrajNkq78bmtCEABTiEGl2qbgwpbWIiIqodLJ9MAAIUhNeS3A1Vrfn4ykAkAchCC5LrmVpMtW4Bjx2Q/LAyIjMTAgfJ0+XLzmw0G/c27dpXpPrTWlW7d9AAVukO6g/5Cb5w6bZ4YT1s8koGFiKjqyssDClLT5Am7g8hM6xYCgIxWUseCzZst3UFo0gQwGDBggDxdvhwwmcxv0LqFPBRYtO4gAJYxzn+htz4oiC0sRERV3+nTQLi54NZYO8Kr90K+wzqwGK8098ds2WIbWCCz99esCaSmAtvNpSWWNYXKWHhrX3ALpWwCi2XVZuvAotXZ+BgGFiKiMrIe0mxgCwuZWa/PGDnA3MKydatMgQtYAktgIHDttXLI0i3kgRaWEydgmUH3qqvMBw8eBM6fR75fELajs97Cok1/e/kycP68/aV8AgMLEVEZcUgzOdKpk0zC27QpUP/qtkBoKJCZKWOdAUtgAWDpFlq2zHxACyzHj8usb27KzdVn3L/ySqB2bfML5taV0w27Ix+BemAJCgKio/Wv6YMYWIiIyoiTxpEjNWtKC8f27YAhwF9fsPGff2RrFVi0wtv16yXTIDISaNhQDu7e7dbXVQp49FHJJhERwBdfWL2waBEAIK2NDGe2dAkBPl/HwsBCRFRGDCzkTJ06MhgIgGXlZgurwNK8ubTEFBQAq1ebD5ayW+jtt4G5c2Wk0rffWq0N+eWXwE8/AX5+yLrlHgB2M/H7+EghBhYiojJilxC5RJsIRRMfb/NUa2Up0i3kRmD59VfgmWdk/913geuvN79w4AAwZozsv/QSwq+R1h6bwMIWFiKiqo0tLOQS6xaW+vWBGjVsXnZax+JiYNmzBxg6VHp+HnkEGDvW/IJW0JKVBVxzDfDss5Ya2wsXZB47AAwsRERVHQMLuaRpU7361ao7SHPttYC/P3DoEHDkCGwDiwtDjR9+WOpf+vcHpk+X+ecAABMnSiFNnTrAV18Bfn4IC5MaGwCVZi4WBhYiojLIywOSkxlYyAUGg97K4iCwhIXJnCyAeXhzmzZSiHLxotVCQ44lJgIbNsgky998I0OlAQBLlkjfEAB8/rmlkNdgAGJj5XCRwMJRQkREVc+ZM/LHb6QhTQ4wsFBxtH4f+wJcu5eXLYMMNdYqZkvoFpo5U7Z33QU0aGA+ePEi8OCDsv+f/wCDBtm8R+sWsgQWreg2JQXIySnxW6loDCxERGWg/bCvY7woOwwsVJzHHwe2bQOeeMLhy1rh7cqV5oWaXahjuXgR+N//ZH/0aKsXFi0Czp2TlRjfeKPI+7TAYhnaXLu2zBUD2FXj+gYGFiKiMtB+rrNLiFzi7w907ixdPQ506SKlJpmZwKZNcCmwfPGFTFDboQPQu7fVCwsXyva++4Dg4CLvK9LCYjD4dB0LAwsRURmcOAH4oQChhZfkAAMLlYGfnz4UeelSlBhYTCa9O2j0aKtC20uX9Hn+b7/d4XuL1LAADCxERFXVyZNAONL1A+Hh3rsZqhJuvlm28+YBhW3NgWXfPnMfka2VK2V5oFq1gGHDrF5YvlyGMzdtClxxhcOvU6RLCGBgISKqqmyGNNeoIcM0iMrgzjtlZv5jx4Cl+xrL+OO8PEkmdj76SLbDh+vDlAHo3UG33WbV7GKrSJcQ4NMjhRhYiIjKgLPckqeFhAAjR8r+R7OMeguJXbfQiRPA4sWyP2qU1Qv5+cAvv8i+k+4gQO8SOn9eamAA+PT0/AwsRERlwEnjqDw89phsf/sNyGjsuI7lk0+khuWaa4C2ba1eWLMGSEsD6tXTJ3ZxIDxcn2y3Mkwex8BCRFRK+fkyDwsDC3la8+YyxFkp4I/UDnLw778tr+flAbNny77NUGZA7w669Vano5EA6Skq0i1kHVhcmF23IpUqsMyYMQPx8fEIDg5Gz549sXnzZqfnzp49G3379kVkZCQiIyORkJDg8Px9+/bh1ltvRXh4OGrUqIHu3bsjyQcTHhGRRps0ro5fmhxgYCEP0oLIZ5uLtrC8+qrM79agATB4sNWblJL5VwCpXylBkcDSsKEkmZwcIDW1LLfvcW4HlgULFmD8+PGYPHkytm3bho4dO2LgwIE4e/asw/NXr16NoUOHYtWqVdiwYQNiY2MxYMAAnLKaZvjw4cPo06cPWrdujdWrV+Pvv//GpEmTEOxg3DgRka/Qfsg3DkuTHQYW8qCbb5YGj/WZ5sBy7BiQmYkFC4BXXpFDU6fa1XknJso0/jVqAAkJJX6NIkObg4KA6GjZ97HCW7cDyzvvvIOHH34YI0aMQNu2bTFr1iyEhoZizpw5Ds+fN28eRo8ejU6dOqF169b49NNPYTKZsHLlSss5zz//PG666Sa88cYb6Ny5M5o1a4Zbb70V9evXL/13RkRUzrQf8g1rpskOAwt5kJ+f1LJcRG2cDZA1gPZ/tdky2/748TI6yIbWHXTjjQ4ni7NXmYY2uxVY8vLykJiYiASr1GY0GpGQkIANGza4dI3s7Gzk5+ejtnnFSpPJhF9//RUtW7bEwIEDUb9+ffTs2ROLtCYtJ3Jzc5GRkWHzICKqSNoP+QbBabLDwEIe9u9/SwvKL/myyNDaZxYjJ0fyiIPZ9t3qDgKcDG320ZFCbgWW1NRUFBYWIioqyuZ4VFQUkpOTXbrGhAkTEBMTYwk9Z8+exaVLlzBt2jTccMMNWL58OW6//Xbccccd+PPPP51eZ+rUqQgPD7c8YrV2LSKiCqL9kK8bkCY7DCzkYfXry4KGi3AbAOD6rEVo01rhm28c1NMeOADs3SvT/990k0vXdxhY4uNl+88/Zbl1j6vQUULTpk3D/PnzsXDhQkt9islkAgAMHjwYTz75JDp16oRnn30Wt9xyC2bNmuX0WhMnTkR6errlccKmPauSOn8emD4dyMry9p0QkQu0H/K1uVIzlaPRo4EVuB5ZCEVjJGHZtO2OJ1TWWleuuUZmnnOB9re+zaCgHj1k+9dfZbltj3MrsNStWxd+fn5ISUmxOZ6SkoJorUjHibfeegvTpk3D8uXL0aFDB5tr+vv7o63NIHKgTZs2xY4SCgoKQlhYmM2j0psyRVby/O9/vX0nROSC06dlW6swTXYYWKgc9O4NdL0qBMuNNwAAYrcuLHqSUsD8+bJvM2yoeE2bSp3t+fPAli3mg1ddJdvdu2U+Fx/hVmAJDAxE165dbQpmtQLaXsVMTvPGG2/glVdewdKlS9GtW7ci1+zevTv2799vc/zAgQNorPWjVRc7dsh2wQKZDYiIfJrWEx6SlyY7DCxUDgwGYMUK4Lrp5llrHdV4rlsHbN8uhbb33OPytWvW1E/XpvlHdDTQrJmEoI0by3TvnuR2l9D48eMxe/ZszJ07F/v27cOoUaOQlZWFESNGAAAeeOABTJw40XL+66+/jkmTJmHOnDmIj49HcnIykpOTcenSJcs5Tz/9NBYsWIDZs2fj0KFD+PDDD/Hzzz9jdJHZcKo4LbSdOQOsX+/deyGiEmmBJTA7TXYYWKichIQAYUNvlsKV3buBQ4dsT3j3Xdk+8ABQt65b19Z+1c6fLy0tAPRWFl/6XaRKYfr06SouLk4FBgaqHj16qI0bN1pe69+/vxo+fLjleePGjRWAIo/JkyfbXPOzzz5TzZs3V8HBwapjx45q0aJFbt1Tenq6AqDS09NL8y15X3q6UpJn5TF2rLfviIiKkZmp/+9qqllTdg4e9PZtUVV33XXyb+3NN/Vjhw8rZTDI8T173L6kyaRUly52l/34YzlwzTWeue9iuPr726CUj829W0oZGRkIDw9Henp65axn2bJFL3QCpEnu5Mlip1UmIu85dAho0QKoFVKAjMvmmbvOnXP7r1sit8yYAYwdKy0g69bJsfHjpYVl4EBg6dJSXfazz4CHHpKaloMHAeO+PbLoYkgIkJ5erquQu/r7m2sJ+Qpt+Fjv3lLdnZwMrF3r3XsiIqe0sQct6qfrBx0O3SDyIK2g9q+/5B9hRgbw6adybNy4Ul926FDp0TxyBFi+HECbNnLg8mW9vtLLGFh8hRZYOnTQlwP/9lvv3Q8RFUurX2laO012atQo179CiQDIxCndu0tv5OLFwOefA5mZQOvWwIABpb5saChgLkXFjBkAjEafq2NhYPEVWmBp3Vov2f7hB6CgwHv3REROaS0sjcPTZIcFt1RRtFlsf/gB+OAD2X/iCQkZZfDYY7L99VdZtoiBhRyzDizXXAPUqQOcPQsUM9svEXmP1sISWytNdlycqIuozLRW+GXLpA8nMlJGB5VRy5bA9ddL483HH8M2sPhAuSsDiy8oKJAqJ0ACS0AAcMcd8pzdQkQ+SWthaRCSJjtsYaGK0rq1pAvNo49Kn44HaEOcP/0UyO3QXX4fnTkDHD3qkeuXBQOLlxQUyPoQTzwB+YeQny/V2No8yewWIvJpWgtL/aA02WFgoYpiMOitLH5+wJgxHrv0LbdImUxqKtCoRQgS0QUA8J8u6xETIw3/3sLA4iU7dgDffy/dj4eXmCeMa9VK74Ps3x+oV09m8fnjD6/dJxE5pgWWun5pssPAQhVp5Eigdm1ZzkVbwdAD/P2BJ5+U/dRUYHW+dAu1S1+PM2e8Owk7A4uX7N2r72/7n1X9isbfH7jzTtlntxCRz9G6hCKQZt6J8NatUHXUsqX8QfvOOx6/9JNPSlnl9u3AHW/3AQAMb74e27dLeaW3MLB4yZ49+n5WooPAAujdQj/+yG4hIh+ilN7CEmZKkx0GFqoiDAZp8O/UCWgyrDcAIOTwHnRqfNGrI/cZWLzEuoWleaE5sLRqZXtS376yjObFi/o69kTkdRkZQG6u7Ifmp8kOAwtVRVFRQPPmktI3bPDqrTCweInWwnL33UBrSGBRrexaWPz89L5JBhYin2FpXQkD/DPT5AkDC1VVPjIfCwOLF2RlmSflAfD606moC1kec/XplkVP1kYNnThRMTdHRCXS6leiogCkpckTBhaqqhhYqq9//pHWtbp1gfgcaV05hsb4cI6DcfRaC4unA0tBAfDhh8DGjZ69LlE1oLWwREeDgYWqvj5SeIvNm2UKDi9hYPECrX6lXTtYZrj9B63x008Oen7Kq4Xlv/8F/vMfj8yOSFTdsIWFqpVWrWQI9eXLtiNGKhgDS0VJTZWFqkwmS2Bp2xaWwHKpYWsUFgKzZ9u9TwssnqxhWbwYeP112T94UO6NiFzGFhaqVoxG4Lff5HdFp07euw2vfeXq5v/+T5YFf+stS0C1bmFpcqMU3H7yiV2Lm6e7hI4cAYYPtz22ZYtnrk1UTWiBpUG9AuDSJXnCwEJVWY8e3p2EBQwsFWf7dtm+8QaO784EYG5h2S+z3Ha4uzWio+UH4aJFVu/zZJdQTo6sB5CWBvTqpc/zsnlz2a9NVI1oXUKxYen6wfBw79wMUTXBwFIRlAIOHZL98+dx09EZAIC2zXKlxQNAQPvWlvxgU4itBZazZ/WJH0pr3Dhg2zap9l2wwLaQiohcprWwNAy9KDs1a8rs1ERUbhhYKkJyMpCdbXn6FN5C49qZqJ9xSBZmCA8HoqLQooW8npRk9d7atYHgYNk/dar09/C//8l64QYDMG+eBKEePeS1TZt8YulwosrCUnTLhQ+JKgwDS0U4fFi2sbHIiG6BujiPiWEzYNhvNcOtwYC4OHlqE1gMBs90C739tmz/+19gwADZ79gRCAyU9Sh8YOlwospAKT2w1AtIkx0GFqJyx8BSEbTuoFatsLTbJADAsOS39GJX8xpCDgML4JnZbrXQNHSofiwoSK/4ZrcQkUsuXtQL4yMNabLDwEJU7hhYysnq1VbBQwsszZtjvmEoDqAFauacB95/X46bA0vjxvL03DmbHqSyt7Ckp8sD0FORRusWYmAhcolWvxIZCQRkpckTBhaicsfA4go3V0reuRO45hrguuuAwkLorRvNmmHXPn+8AmllQU6ObM2BJTwcqFVLDtlkkzIGlpTNxwEAqaiDPzbVsH2RgYXILZyDhcg7GFiKk54uI2vatHFrhM6mTbI9dAhYuhSWFpbc2OY4cgT4BkNR0LSF/gZzYDEYnHQLlaFLKDsbmDZKAstxNMbixXYnaIFl2zavTrlMVFlwllsi72BgKU5wMPD99xI4vvjC5bdpM9kCwEcfwRJYjvk1g8kEhEX6w2+yuZXF3x9o1sxyvtYtdPy41QVL2cKiFDBiBJB3WNLPcTTGsmV2J7VoIU07Xp5ymaiyYAsLkXcwsBQnKAh4+mnZf/11l7uGrH/vb1xywfJDbUdGUwAyw63hX0OBJ58E3n1XRuqYOWxhKWVgeeUV4NtvgaZGST9JaIx//rG7ttEIdO8u++wWIioRW1iIvIOBpSQPPwzUqyfDfufPd+ktWgtLTAzQDIcsT3YdkfqRtm0hLSvvvAOMHWvz3mK7hFJTpSXEBd9/D0yeLPu3dzE318RL883y5XYns46FyGWWFpYopTeFMrAQlTsGlpKEhkpLCABMnSoTvRUjLQ04fVr2p00DmpsDi6lJM0vLS9u2zt/vsEsoMlLuA3Bp8rjDh/VFmMeNA5r6ycUa9JSLF+kWYmAhcpnWwjJgyxRg3TrbVkoiKjcMLK4YPVrqPPbutVvopyitdaVRI+Bf/wK6hssIoSPG5pbX2rVz/n5PTB63dKk0xPToAbz5Jizpp82NElh+/92ud0sLLHv26Au5EZFDycnAMHyNLgvNdWjTpwMdOnj3poiqAQYWV4SH6103U6YUO429FkratgX8/IDrm0oLy9LDzS3TsRTXwqIFlhMn7Bpz3Fi1WRtF3acP4F+QY2nDbjswDhER0gq0davVGxo0kOubTDJaiIicapq0GnMwUp783//JHzREVO4YWFw1bpx0y2zb5qBPRWff7dPaX1LK2tMyQigiQvKBMzExEnTy8/W+cgB6C4sLQ5ut5qnTA05oKPyj6iAhQZ6yW4jITkpKiYX1hbv34dMLtyMQ+bh8y11SjE9EFYKBxVV16wKPPir7r73m9DT7bp/AJGnuOITmACTIGAzOv4y/P9CwoeyXdqSQ1Tx1ejFM48aAwYCBA+UpAwuRlRUr5C+JSZOcn5ORAdx0EyKRhvXoDf95c6V+hYgqBP9vc8dTT8kQ5LVr5eGATQtLZqalQu8wmunHS1DsSKESAovJBBw5IvtFAgv0dQ83bZI1USwYWKg6mzNHunr/+MP5OStWwO/EMZxAI4ys/RMCwkIq7v6IiIHFLQ0bAg8+KPtvvlnk5fR0fRBP27awNHWoOnUQ1z4CANC+fclfRgssDiePK6FL6PRpmfHf39+cUbTUYw4scXEysa7JZPezuWtXafo5flwfBkFUHeTlAUuWyL6W9h0x///8J/ojMKZuBdwYEVljYHHXuHGyXbJEVim0Yj3/SkQELD/gDM2b46uvZHT0yJElfwltaHNpuoS07qDGjSW02LewAHDcLRQWJksQAGxloepl9Wrp7gFkriNt3575f67DaCaz3BJRhWJgcVebNtIaUVgILFhg81KRYctW1a8dO8o8cTVrlvwliu0SunDBbilnWzb1K0CJgcVmwFPPnrLVFkMiqg7spypw1spiFViiosr3loioKAaW0rjvPtnOm2dz2HpIMwA9sFitFeQKh4ElPFxPO8V0C9mMEAIcBpZ+/aQUJykJOHDA6s1XXinbDRvcul+iSkspWFYEDQiQrbPAYj5+BE3ZwkLkBQwsLjh71u7AvffK6ICNG/WEgKJDmi3NHZb04BqHs90aDC4V3tq0sBQW6udqKQhAjRpA376yb9Mt1KuXbDdvlvcSVXWJiVJ4VqMGcMstcsxRYMnPt/wFwRYWIu9gYCnGhQvANdcATZtKQa1FdDRw/fWyb9XKUlyXkDu0cpWLF2WgUZEXXA0sZ87IvBL+/lJYY8VhHUvbtkCtWjLbLVdupupA6w668Ub9Lw1HgeX4caCwEDnGECQjmi0sRF7AwFKMyEipq83KAr780u7FYcNk+/XXgFLIyNBzRNu2kKE6WteNm11CYWH6Wmo22aSEwKKUXUbSmmgaNZLZ6KxogWX1aiA313zQz08f3rxxo1v3TFQp/fSTbAcP1v8/1VK/NXOIORnQFICBgYXICxhYimEw6LNuf/SRXYHq7bfLzLeHDgGbN2PfPjncoIEEHRw9Km+oVUtWe3aTw24hrUvISQ3LhQt6S1DTpnBYv6Jp314airKzgfXrrV5gHQtVF4cPA7t3S1C/6Sbz/zRw3MJiDjEHlYQadgkRVbxSBZYZM2YgPj4ewcHB6NmzJzYXMwx29uzZ6Nu3LyIjIxEZGYmEhIRiz3/sscdgMBjw3nvvlebWPO6++6TW9Z9/gFWrrF6oWRO47TbZnzevaP2KdVNHcVPbOuGw8LaEFhbtS8bEACEhKDawGAz6JHIO61gYWKiq01pX+vcHatfWA8uxY0VruMwhZn+enMMWFqKK53ZgWbBgAcaPH4/Jkydj27Zt6NixIwYOHIizRSpTxerVqzF06FCsWrUKGzZsQGxsLAYMGIBT2gxrVhYuXIiNGzcixq7ewpvCwoD775f9jz6ye1EbLTR/Pv7ZlQ+g7COENKUJLEVqfO0mjbPnsI5Fa2HZv1+abIiqKuvuIECSfmCg1H3Zt2Ie1pbYaAajEahTpwLvk4gAlCKwvPPOO3j44YcxYsQItG3bFrNmzUJoaCjmzJnj8Px58+Zh9OjR6NSpE1q3bo1PP/0UJpMJK1eutDnv1KlT+M9//oN58+YhQBte6CNGjZLtokX6TLYApPC2Xj3g3DkEr10BwKrgtpQjhDSl6RJyZQ4Wa1rd8M6dVgst1qkDtGgh+5yPhaqq1FRg3TrZ1wKLnx8QHy/79nUsVnOw1K9fpCSMiCqAW4ElLy8PiYmJSNCW/AVgNBqRkJCADS52IWRnZyM/Px+1a9e2HDOZTLj//vvx9NNPo53lN37xcnNzkZGRYfMoL+3byzDgwkJg9myrF/z9ZYgzgK77vgbgpEuoFIptYUlLk5E8doo06pQQWOrVA7p0kf0VK6xe0LqFWHhLVdUvv8j6FJ062f7/4aiORSmbOVh8qAGYqFpxK7CkpqaisLAQUXYVZ1FRUUi2/IlevAkTJiAmJsYm9Lz++uvw9/fH448/7vK9TJ06FeHh4ZZHrPbLvJxoxbeffCJTMliYu4Wuz16Elthfvl1CYWHyABx2C9k06iilBxarOVjsFdstxDoWqqq07iCtDk2j/f9qHVjOnQMuXYIJBhxDPJ58skLukIjsVOgooWnTpmH+/PlYuHAhgoODAQCJiYl4//338cUXX8DgRnHqxIkTkZ6ebnmcKGGNnbK64w6gfn2Z2kT7WQcA6N4dlxu3QiguYz9ao85d1wL/+58eFsrYJXTypHSpWxTTLWTTJXThgozHBlwKLMuXyx+cAPQWlk2brA4SVRF5efIPHgBuvdX2NQctLPt+kf+xTiAWj/9fkKV0jYgqlluBpW7duvDz80OK3Wq+KSkpiC6hbP6tt97CtGnTsHz5cnTo0MFyfO3atTh79izi4uLg7+8Pf39/HD9+HE899RTitf5kB4KCghAWFmbzKE+BgcDDD8u+TfGtwYClD/+IX3AzTDDIUKJhwyRlBAUVmbDNVdHRMlN4YaGEJAsnhbeXLul1KM2aQQ9MUVGAORw60quXDHg6d05qWQAAV1whM39mZMAyXpuoqkhMlPH8detKl5A1u8By+jQw4ynZT6/dFNOmVeB9EpENtwJLYGAgunbtalMwqxXQ9tL+KnfgjTfewCuvvIKlS5eiW7duNq/df//9+Pvvv7Fjxw7LIyYmBk8//TSW2fRTeN8jj8iM/KtW2f4e/yutLQbhF7w4/Bjwwgt6SOnZU95QCkaj3pjiykgh7Q/C2rXN88CUUL+iCQyU2XwBq24hf3+ge3fZZ7cQVTV//inbvn2LTjmgBZbDh3H5svQY1U6TFpbWNzdjsS2RF7n923T8+PGYPXs25s6di3379mHUqFHIysrCiBEjAAAPPPAAJk6caDn/9ddfx6RJkzBnzhzEx8cjOTkZycnJuGQuGq1Tpw6uuOIKm0dAQACio6PRqlUrD32bnhEXp7cgd+0qwSAyEnj/fTnWoGcc8NJLEhbWrwe++65MX8/RSKFDedK9c/n9j4Fff7Ucd3eEkLVi61hYeEtVjRZY+vcv+lqTJrK9cAHPj0nDli1A20D5nyuwddMKukEicsTtwHLPPffgrbfewgsvvIBOnTphx44dWLp0qaUQNykpCWes+jBmzpyJvLw8DBkyBA0aNLA83nrrLc99FxXoqaek9ePyZRmsk5YmRbgBAXpLBfz9gd69peilDOwLb/ftA2768SEcRHOEXDwji7U98ABw4YJLqzQ7owWW9eutBh9xAjmqigoK9OHMjgKL1czUuxYfBQBc38zcfFnKAnoi8gz/0rxp7NixGDt2rMPXVq9ebfP82LFjbl+/NO+pKH36SK3IxYu2x+vWle4YT7IOLOfPA4MGAYcvNUBH7MTLeAFPGd+F4auvgOXLUbPjLAC36T9TS5g0zlqzZvKH5dGjsrbQLbdAb2HZu1dSmba4EVFltn27pPKICJmvwJFmzYBz5xB2/giAzoi8YN98SUTewLWESqFePaBlS9uHp8MKoGeNw4eBu+6SbXw8MOT+UDyNt/BM7/VAmzZASgpGLb8d/8EHpeoSMhgcdAvVr6/35xezlAJRpWJdv+KsIMX8774ZDqNejWwYU87YHCci72Bg8WFaC8vy5VLoW7Mm8PPPwPPPy/G311+J4wu3Aeb5az7AE+iX+K686MIcLNYc1rGwW4iqmuLqVzTmYNIUR3BVjHQLISKifP4qISKXMbD4MOusYTDI9C5XXAG0agUkJMjccLO+CEbeG+9hCiTFNP1wvBT+pqbKG11oYQGAa6+VPzgPHpSuIQAsvKWqpbAQWLsWAHC4YT/bVcqtWQWWbpHsDiLyFQwsPiwuTm+1njpValg02sy7n34KHDhowH/xCqb4T5aDL74o27Awl2tPwsL0fKL9EWppYWGXEFUFu3YB6elQtWqh7+Odcc01dmuDaawCS5ugIzbHiMh7GFh8WGgo8NlnMmz6mWdsXxs0CGjYUBpSZDIrAxa0eVFaVzQutq5oWreWrWWKl5YtZXvhApCZWYrvgMiHmJP4xbZX4cw5f+TnS4YpwhxOGuM4mpkOyDG2sBB5HQOLjxs+XEpU7Oe38vcHHn1U9ufNk22zZpCJ66ZMkQNak4mLGjSQrWVUeq1aegtNOS99QFTuzIFla6hev7J/v4PzGjZEniEQAShA0+Or5RhbWIi8joGlEnvoIQkuGssfgc89J0W3NmsIlKxIYAGczqxLVKmYTMCaNQCABcl6YDlwwMG5RiOOG2QCuVonzVNas4WFyOsYWCqxBg2AO+/Un9ussxgXZ5tmXLwe4CSw2KwPQFTJ7N0LnD8PFRqKr/bpy4M4amHJzAQOmuxaVBhYiLyOgaWS04pvgbL/THUYWLShSmxhocrM3B2U0rQ38hGAoCA57CiwHDsGHIFVYAkI0Bf2IiKvYWCp5Pr2lSUB6tQB7NaVdJu24HZysgyZBsAuIap8Nm6U7h/LP2JYuoP+CugHAPjXv+TwyZNAVpbt248etQss8fHOJ5kjogrDwFLJGQzA0qXSKhIZWbZraYElL08GBgFglxBVLllZkuD795ftpk0SXMwtLF8nSf3K0KH6PHAHD9peokgLC7uDiHwCA0sVEBgordZlFRyshx5LtxBbWKgyOXYMyMmR/T//lJFyAwYAKSkwBQZhyfkeCAmRlkltMXj7wtujR4HDsAopHCFE5BMYWMhGkToW6xoW6yZ2Il+kBeumTYERI2Rp9d9/BwCcanQlchGM/v0lnGuBxb6O5ehR4Cia6AfYwkLkExhYyIYWWJKTzQcaNpRtTo4sGU3ky7TA0ro1MGcO8PffwK23AgC+CRkJQF83S5sX0b6F5dgxIAs1kRtRXw6whYXIJzCwkI0iLSxBQUBUlOyzjoV8nRZYtK7Mdu2An35C9iUTXjj0AADpIQIct7Aopa+llTlkpKyG3q9fBdw4EZWEgYVscGgzVWr2gcVs7ToDcnNldHKbNnLMuoVF6+1MSwMyMmQ/9P2pMn8LV2km8gkMLGSDs91SpeYksCxbJtuBA/VlLpo3l/30dODsWTmmta5ERclaXkTkOxhYyAZnu6VKzYXAogkO1tcH1bqFtMASH19+t0hEpcPAQjbYJUSVllIOA8uJE9KzYzQC111n+xb7oc3Hjsm2SRMQkY9hYCEb7BKiSuvCBeDyZdm3mkp/xQrZdu9etBzFvvBWa2FhYCHyPQwsZEMLLJcuyQMAu4SoctACdb160t9jtnq1bBMSir7Ffmgzu4SIfBcDC9moVQuoUUP2i8x2e/o0UFjolfsiKpGzEUJrZetodLJ9Cwu7hIh8FwMLFVGkWyg6GvD3l7Bi01dE5EMcBJaTJyWEGI1Ar15F36K1sBw+DOTnM7AQ+TIGFiqiSGDx89NnvGUdC/kqB4Fl3TrZduokrYf2GjUCQkKAggJg82YgO1uGOts10hCRD2BgoSI4tJkqJQeBResO6tvX8VuMRqBFC9nXhj43bCgTPBORb2FgoSI4tJkqpWJaWJwFFkCvY1m6VLbsDiLyTQwsVASHNlOlZBdY0tKAXbvkUJ8+zt+mBZatW2XLEUJEvomBhYpglxBVOiaTVNgCln+rf/0lc8m1aKGv3+mIVnirrSfEFhYi38TAQkWwS4gqnZQUGeZjMAAxMQD0+pXiWlcAvYVFw8BC5JsYWKgIdglRpaP9u2zQAAgIAOBa/Qqgt7Bo2CVE5JsYWKgILbBcuADk5poPaoHl7FkgJ8cr90XklBZYzC2BOTkyTBkoObBERAD16+vP2cJC5JsYWKiI2rWBwEDZT062OhgSIvtarQCRr7AruN2yBcjLk9qVZs1KfrvWyuLvr085RES+hYGFijAYZHJbwKpbyGBgHQv5LrvAYt0dZDCU/HatjiU2VkILEfkeBhZyiCOFqFKxCyyuFtxqtMDC7iAi38XAQg6x8JYqFavAUlgoQ5qBkutXNEOGAL17A6NHl8/tEVHZsfGTHKo0Q5tTU4G77gIyM4GePYErr5RH8+au9QVQ1WAVWHbvBtLTZe2gDh1ce3uTJsD69eV3e0RUdgws5FClaGG5fBkYPFj/czoxEfjoI9mPigJ+/FH+bKaqraBA/4caG4u1P8hur16sRyGqStglRA75fA2LyQQMHy5hJTwcmD0bePJJCShBQTKR2BdfePsuqSKcPi3/HgICgKgol+dfIaLKhX9/kEPaKCHLsGbAt1pYnn0W+O47+SW1cCFwzTX6az/9BNx2m97yQlWb9u+xYUOYYCxxhWYiqpzYwkIOFdvCkpEhRQLeMnMm8Oabsj9njm1YAaQvAAD27pUV8Khqs6pfeeEFaXCpUQPo3t27t0VEnlWqwDJjxgzEx8cjODgYPXv2xGZtSkkHZs+ejb59+yIyMhKRkZFISEiwOT8/Px8TJkxA+/btUaNGDcTExOCBBx7A6dOnS3Nr5CFaYElJAQoLzQdr1gQiI2W/pFaWw4eltsCTlAK+/hoYO1aev/IKcN99Rc+rX19mC1MK2LTJs/dAvsf8b/FYYSymTJFDM2cCoaFevCci8ji3A8uCBQswfvx4TJ48Gdu2bUPHjh0xcOBAnD171uH5q1evxtChQ7Fq1Sps2LABsbGxGDBgAE6dOgUAyM7OxrZt2zBp0iRs27YNP/74I/bv349bb721bN8ZlUn9+jLIxmQCzp2zesGVbqF582SUjtYK4gnHjwODBgH33y83NXIk8Pzzzs/XWlk2bPDcPZBvMv9b/G6T/NucMEH+mRBRFaPc1KNHDzVmzBjL88LCQhUTE6OmTp3q0vsLCgpUrVq11Ny5c52es3nzZgVAHT9+3OX7Sk9PVwBUenq6y++h4kVFKQUotW2b1cFbbpGDH3/s/I0DB8o5V19d9pvIz1fq7beVCg2VawYEKDVpklJ5ecW/76OP5Pzrry/7PZBPyx54m1KAGo0P1aBBShUUePuOiMgdrv7+dquFJS8vD4mJiUhISLAcMxqNSEhIwAYX/5LNzs5Gfn4+ateu7fSc9PR0GAwGREREOD0nNzcXGRkZNg/yLId1LNpStrt2WQ6lpVmVtGRnA6tXy/7u3WW7gexsmar0qadkv29fYOdO4OWXLSvyOqW1sGzaZNWnRVVNdjZwdK20sBjjYjFvHuDn5+WbIqJy4VZgSU1NRWFhIaKiomyOR0VFIdlmOIlzEyZMQExMjE3osZaTk4MJEyZg6NChCAsLc3qdqVOnIjw83PKI1boqyGMcBpYBA2S7aBFgMiE3F+jaVSboys0FsGqVvsRzaqqs7lxaP/0kgSMsTIYtr14NtGnj2nuvuEJqbjIypPiWqqTXXwfqZEtgeXZGLGrV8vINEVG5qdBRQtOmTcP8+fOxcOFCBAcHF3k9Pz8fd999N5RSmDlzZrHXmjhxItLT0y2PE74w1LaKcRhYrr9ehmCcPAls3Yq//gKOHJGpWY4cAbBkie1FytLKsmaNbP/9b+ChhwCjG/9c/f2BHj1kn8Obq6xtG3IRBQnFDa/kHy1EVZlbgaVu3brw8/NDSkqKzfGUlBREaxN3OPHWW29h2rRpWL58OTo4mC9bCyvHjx/HihUrim1dAYCgoCCEhYXZPMizHAaW4GDg5ptl/8cfsWyZ/tLhQ0oPLOHhsvVEYOnXr3Tv12a5ZeFtlZV94CQAoDAwGKhTx8t3Q0Tlya3AEhgYiK5du2LlypWWYyaTCStXrkQvrWbAgTfeeAOvvPIKli5dim7duhV5XQsrBw8exO+//446/MHjExwGFgC4807Z/vADli1VlsPn/9oPHDsGBAYCDz4oB/fsKd0XP3dO78pxdclde9q/SbawVEkFBbCMEDI1jOXaUURVnNtdQuPHj8fs2bMxd+5c7Nu3D6NGjUJWVhZGjBgBAHjggQcwceJEy/mvv/46Jk2ahDlz5iA+Ph7JyclITk7GpUuXAEhYGTJkCLZu3Yp58+ahsLDQck5eXp6Hvk0qDaeB5cYbZfr7Q4eQv1MPJLXW/SY7/frJAoRA6VtYtPnV27UD6tYt3TW0ezh4UOppqEpJSgJiTBJY/JuwO4ioqnN7av577rkH586dwwsvvIDk5GR06tQJS5cutRTiJiUlwWhVazBz5kzk5eVhyJAhNteZPHkyXnzxRZw6dQqLFy8GAHTq1MnmnFWrVuHqq6929xbJQ5wGllq1pPj2559xJ37AHlwBAIjfZ+4OuukmCRqAtLAo5f5fv066g1auBN57T6/r1dxxB/DYY3bXqF0baN0a+Ocf6RYaNMi9eyCfdvgwEAsJLAYW3RNVeaVaS2js2LEYq802ame1NqTV7NixY8VeKz4+HkqpYs8h72jSRLZJSdLTo41oBiAJ4eefcQd+xPIrJ2PXxku44oI5ZNx0k7zZ31/GO586BTRq5N4XdxBYtm4FbrkFyMkpevqffwIjRkjDj43evRlYqqhDh4C2MHcbMrAQVXlcS4icio4GEhKkgeSTT2xfM908CAXwQ0f8jQl3HsK1+AOBKg+qSROgZUupY2nRQk52t1soPR3YsUP2zSvYnT4NDB4sYWXAAJmhX3vUrg3k5QF//+3gWqxjqbJSt5/A3fhWntxwg3dvhojKHQMLFWv0aNl++qltN8zfp+pgFWTRwZvzFmKQUbqDMvvcpHf/XCFdRW4X3v71l0y/36wZ0LAhLl+WxZdPnwbatpVFmocN0x/a6OUtWxxcSxsptGULkJ/v3n2QT+vy++sIRD5OtrgGuOoqb98OEZUzBhYq1qBBQMOGMmjn++/148uWAT/iDgBAwOIfcLNRCm4Pt7pRP0kLLO62sFh1Bykl07Bs2SItKYsXyzxy1rRVeR0GltatgYgImRLVYRMMVUqnTuH6Y7MBAKf/PcnLN0NEFYGBhYrl7w88+qjsf/SRfnzZMmARboMyGIBNmxBTkIQcBCGx1jX6SVrhrYuB5fJlKTXJ+FUCy8EG/fDcc8A338h9fP+9NLrYKzawGI36aCHOx1JlqDfeRKDKw1r0QeTtV3v7doioAjCwUIkeekgCw19/SWlJVpaMOk5GA+R01uffWYVrsP9EqP5GrYVl717p4inBkCHAtb0vI3iXJI+Br/XDtGny2ocfAtdc4/h9WmDZtw8wj5a3pXULsY6lakhOBj75GAAwxfgCGsdz/hWi6oCBhUrUoIEMCgKAmTNlSZ/8fBkIFDz0Dst5v+FGHD5s9cZmzaT4NjtbhhlZUwpYuBAwz5qcni6tNj2xCYHIR7J/Q/g3b4JWrWS9GK2Vx5HoaBmEZDIB27Y5OIGFt1XL22/DkJODDbgSB+ISEBjo7RsioorAwEIu0Ypvv/4a+NY8MGPAAMBwp21gOXTI6k3+/vpihfaFt59/LinoqquA8+fxxx+yqPIddaQ7KPqufjhw0IB//gGeeabk+yu2W6hHD1nC9/hx84JHVGmdO2fpm3wZL6BZc7auEFUXDCzkkn79ZIROdjbw5ZdybOBASDPLrFlIeeFDHEILHDkijScWjupYlALef1/2Dx8G7rwTK3+TWY0HhpRu/aBiA0tYmGV4NH76ya3rko955x0gOxsnG3TDUtyA5s29fUNEVFEYWMglBoPeygJIg8W115qfPPooIp8fA6NR6lts1sZ0NFJo/XoZsRMSIrPm/vkn+n4zGgHIQ/Oz5m4bTwYWQMZFAwwslVlGhhQzAZjffBIAg8MibCKqmhhYyGX33w/UrCn7vXrpCzIDUqoSFyf7Nt1C5sByfu0ePPOMecE6bbjRv/4FzJ8PZTTinkufYa5hBPzyLsvaQVpXkou0NTWPHAHOn3dwwuDBsl27lusKVVa7dklVdcOGWJAtsxYzsBBVHwws5LKwMJkTBdCLcK1pvzxsCm/NXUI1T+zDO28WYMnnKfqELmPGADfdhHW3vw0AGKr+J8f79nV77aGICH1iXYetLPHxQMeOUpn7669uXZvKwdNPS3eiTXNcCcwrM6NpUxw+Iv8+2CVEVH0wsJBb3nwT+OMP4PHHi76mBRabFpb4eBQEhSIIeWiOQzj32mwZYtSrF9C5s1wz9wl8jEf097jZHaQpsVtIa2VZtKhU1ycPWrBARo4tWeL6e8yBJTcqFhcvyqGmTT1/a0TkmxhYyC0BATIfip9f0de0v3ZtWliMRpwObwsA6IidGHBM5s/AmDEAZA2gVasNGIsPkd7nZqBGDeDWW0t1by7XsSxbJtXD5B1K6S0r7gw1NweWCzWk77FBA/nnQkTVAwMLeYzDLiEAW3OljuV5v9cRi5PIDKkns8RBfl9dugTUrh+AWqt/lgKUUv7ZbB1YHC4A3qmTFNpcvgz8/nupvgZ5QFqaJFXAvdmHk5IAAKeMsjIz61eIqhcGFvIYrYXFuksoKQlYny6BpUPhdgDArMKHkZkXBABYvlzOGzAAMPoZgKCgUn/9zp2l5Sc5GTh1ysEJBoPeLcTRQt6TnKzv79kjAcYV5haWI/kMLETVEQMLeYzWMHLhAiw1BsuXA3vQznJOIYyYnvco5s2T58uWyXbgwLJ//dBQfdqXEutYfv5ZZqqjimcdWABg0ybX3mcOLLvTJbCw4JaoemFgIY+pWROIipJ9rVto2TJgN66wnHO0/a04gTh89BFw9qw+lf7113vmHkqsY+nXT4YUnTvHxRC9xT6wuFLHcvmy/DcDkHhOaljYwkJUvTCwkEdZF94WFEipyCk0RH5EXQBA1EtjEBIiU2q8+KKc26mTHnTKqsTAEhAA3Hyz7HO0kHdogcVo/vHjSnA8eVK2oaHYfiwSAAMLUXXDwEIeZV14u3WrlCdERBhg/OF74IsvUOu26/Cvf8k5M2fK1hPdQRotsGzd6qTwFrCtY3F6EpUbLbD07y/bjRtL7p4zdweZGsXiTDLnYCGqjhhYyKOs52LR6lMSEgC/a/sDw4cDBoPNFP+AFNx6Svv2UreblmY3H4y1G26QqXkPHQL27fPcFyfXaEOar7tO+hEzM4G9e4t/jzmwZNeR7qCICKB27XK8RyLyOQws5FHWXULOCmq7dAGuvFL2Q0NlwWZPCQiwzEfnvFuoVi35ZQmwW8gbtBaWhg2Bnj1lv6Q6FvOQ5vOhLLglqq4YWMijtBaWXbv0wR+OunyefFK2gwaVaSSzQ716ybbYLHLDDbLduNGzX5xKpgWW6Gj9P1ZJdSzmFhbOwUJUfTGwkEdpv0guXpRle9q0AWJji553992SFT7+2PP38OCDsl24EDh92slJHTrI1noVaaoY1oGld2/ZL6mFhXOwEFV7DCzkUXXq2K7iXFx9Ss+etud6SocOQJ8+Mkrp00+dnGReRRpHj0oNBVWMwkLL8GRER+t9gwcPFr+KtrlLaHeG1LCwS4io+mFgIY8yGGz/+vXkCCB3aIW9H38say0WUbeu/MIESi74JM9JTZWmN6MRqFcPiIyUZjig+O45cwtL4lm2sBBVVwws5HHaL5OgIH3kakW74w6gfn3pEvr5ZycntW8v2127Kuy+qj2tO6huXX0FTa2OxVm3UHq6pRVs02kGFqLqioGFPE5rru/bV0YBeUNQEPDQQ7L/0UdOTtK6hRhYKo51/YqmpMJbc+tKXq3ayDTVQEiIrNRMRNULAwt53EMPyVT72ky23vLII9LzsHIl8M8/Dk7QWlhYeFtxHAUWrfB282YpPLJnrl/Zny2tK/fdp0+SS0TVB/+3J49r2lQWPfTk/Cql0bgxcMstsq/NqmuDLSwVz1Fgad1aZoLLzgb+/rvIWy4fkBaWY4Wx6NkT+OCDCrhPIvI5DCxUpWnFt198AWRl2b3Yrp1UCZ87JysxUvlzFFiMRn20kF0dS2EhsGi6BJaLNWKxaBEQHFwB90lEPoeBhaq066+XAs2MDOB//7N7MTTUdqY7Kn/atPzWgQVwWsfyzDNA3hEJLNeNiCvyNiKqPhhYqEozGoFRo2R/xgwHJ2jdQqxjqRhaC4v98txa/+GaNZYFKefNA955B4iD1LA0vNLBDIREVG0wsFCVN2KEBJedO4EzZ+xe5NDmiuWoSwiQFpbAQODkScuqlZ98Ii91iJAWFodTJhNRtcHAQlVe7dp6z0+ROeJYeFuxnAWW0FC9W2jlSgDA8eOAASZEZp+U43FxFXSTROSLGFioWmjXTrZ79ti9oLWw7NkjM7BS+cnNlUWmgKKBBdBX0P7jDxQWSmNLPZyDMS9XiqMbNqy4eyUin8PAQtVC27ayLdLC0ry5dEVkZQHHjlX0bVUv2kisgACZkt/etdfK9o8/cPqkCYWFQBM/c3dQdLS8j4iqLQYWqhactrAEBOhr2bDwtnxZdwcZDEVf79EDqFEDOH8eqauki65THdavEJFgYKFqQWth2bPHMghFx8LbiuGsfkUTEAD06wcAUL9LHUvbWubAwvoVomqPgYWqhVatZKTQxYv6VCAWHNpcMZwNabZmrmMJ2/oHAKBFkAxpZgsLETGwULUQEiJLBgAO6ljYwlIxSmphASx1LI2O/Al/5KMR2CVERIKBhaoNp3UsWgvL/v1AXl6F3lO14kpg6dgRqF0bwfmX0A1bUT+HXUJEJEoVWGbMmIH4+HgEBwejZ8+e2Lx5s9NzZ8+ejb59+yIyMhKRkZFISEgocr5SCi+88AIaNGiAkJAQJCQk4ODBg6W5NSKnnI4Uio0FwsJkpeD9+yv8vqoNZ9PyWzMagWuuAQBch5UIy2ALCxEJtwPLggULMH78eEyePBnbtm1Dx44dMXDgQJx1snjc6tWrMXToUKxatQobNmxAbGwsBgwYgFOnTlnOeeONN/DBBx9g1qxZ2LRpE2rUqIGBAwciJyen9N8ZkR2thaVIYDEYOIFcOUpLA+6/H0g/4EILC2CpYxmA5Qi+cFqOMbAQkXJTjx491JgxYyzPCwsLVUxMjJo6dapL7y8oKFC1atVSc+fOVUopZTKZVHR0tHrzzTct56SlpamgoCD1zTffuHxf6enpCoBKT093+T1UvWzbphSgVJ06SplMdi8++qi8OHGiV+6tKpsxQz7apKBmsrNuXbHnZ2z5R87THgEBShUWVtDdElFFc/X3t1stLHl5eUhMTERCQoLlmNFoREJCAjbYrbLqTHZ2NvLz81G7dm0AwNGjR5GcnGxzzfDwcPTs2bPYa+bm5iIjI8PmQVScVq2kMeX8eeDcObsXWXhbbrT5+CJzXRglBOBoQEuchNWsto0aSVcREVVrbv0USE1NRWFhIaLsfuBERUUhWSuoK8GECRMQExNjCSja+9y95tSpUxEeHm55xLLJmEoQGqqPFHJaeMuhzR53/DhQA5dQE1lyoIQuoaQTBvyBa/UD/H+biFDBo4SmTZuG+fPnY+HChQgODi7TtSZOnIj09HTL48SJEx66S6rKnBbeaoHl2DEgM7Mib6nKS0oCoiAFtzn+NYCaNUs8n4GFiOy5FVjq1q0LPz8/pNjNvJWSkoLoEv5qeuuttzBt2jQsX74cHTp0sBzX3ufuNYOCghAWFmbzICqJ06HNderof/n/80+F3lNVl5QERENaS8+o6KIzDTs43yawcEgzEcHNwBIYGIiuXbtipXn5dwAwmUxYuXIlemlLwzvwxhtv4JVXXsHSpUvRrVs3m9eaNGmC6Ohom2tmZGRg06ZNxV6TqDSctrAAQIsWsuWQeo/JywPOnNEDy6nC6BLLhI4fB04gDhfrNpcDbGEhIpSiS2j8+PGYPXs25s6di3379mHUqFHIysrCiBEjAAAPPPAAJk6caDn/9ddfx6RJkzBnzhzEx8cjOTkZycnJuHTpEgDAYDBg3LhxePXVV7F48WLs2rULDzzwAGJiYnDbbbd55rskMnPawgIwsJSDkydlqE+svwSWZERj2bLi35Nkno3/4NDJQO/ewO23l/NdElFl4O/uG+655x6cO3cOL7zwApKTk9GpUycsXbrUUjSblJQEo1VF/8yZM5GXl4chQ4bYXGfy5Ml48cUXAQDPPPMMsrKy8MgjjyAtLQ19+vTB0qVLy1znQmSvdWsZKZSaKiOF6tWzelELLIcOeeXeqiItfLQMSwYuACmIwvLlwNNPl/we3Hcf8MF95X6PRFQ5uB1YAGDs2LEYO3asw9dWr15t8/yYNqaxGAaDAS+//DJefvnl0twOkctCQ4EmTYAjR6RbqH9/qxebm7sg2MLiMcePyzY+WG9hWbsWyM6W/xb28vOB0+a54li6QkTWOLkBVTtaHUuRbiF2CXmc1loS4ydF9Xm1o5GbC/z5p+PzT50CTCYgKAioX7+CbpKIKgUGFqp2nE7Rr7WwXLggDyozLbDUM0kLS6OuMhLLWR2Ldn5sLOeKIyJb/JFA1Y7TFpYaNYAGDWSfdSweoXUJhV+WwNL2Wgksy5cXfz67g4jIHgMLVTtOW1gAdgt5mLSYKIRmSGDpenM0jEZg3z7A0VyPWgtL48YVdotEVEkwsFC107q1bM+eldFCNipqpNCpU8DLLwNlWQMrJwf4+GPg2muBH3/03L15iFISQCJxEcaCfABARMv66NlTXnfULaQFFrawEJE9BhaqdmrUAOLjZd9pHUt5t7BMniyPd991/72ZmcBbb8lwp8ceA1atAv7v/1DiFLIVLDUVuHxZn5YfkZFAUBAGDJCnjgILu4SIyBkGFqqWnE4gV1FdQtu2yXbHDvfe9/HH0l/y9NNAcrJUp4aEAEePAlu3evw2y0JrLWkbaV7E1Lz0wcCB8vT334HCQsfvYWAhInsMLFQtOZ2ivyK6hAoK9KTkzurQhYXAk08CFy8CLVsCc+bIfd56q7w+f77n77UMtPDRPtJcrGIOLN27AxERQFoasH69fr7WhQSwhoWIimJgoWqpVSvZFsklzZrJtjyHNh84IIvsAMDhwzKLmisOHZI+lpAQCTwjRgCBgcA998jr334rk5i44tw5YOnScu1G0rp37s74THbM64j5+wN33CGHPvlEP//CBSArS/YbNSq32yKiSoqBhaolLZcUCSw1agAxMbJfXt1Cf/+t7yvlZLhSMe+74gr5ra+58UagVi1ZuGfDBteuNXasvO+111w7vxSSkoCrsA5tU9cAAQHAE09YXhs9WrbffSfFz9r5gEwYFxJSbrdFRJUUAwtVS1pgOXZMemhslHe3kHVgAVzvFtKWOW7f3vZ4cDAweLDsL1jg2rW0vpiXXnKvW8oNSUnAREyVJw8+CDRsaHmta1egRw9paJozRz8fYHcQETnGwELVUsOGMv17QYGD+UDKu/BWCyw1a8q2rIEF0LuFvvuuaCWrvfPnZVg1IIv3PPigg9RWdsH7tuNmLIEyGoFnninyutbKMmuW3DJHCBFRcRhYqFoyGoGmTWW/SENKeQ9t1gKLVsjhicAyYIBUsiYnA2vXuvb1o6JkqHFiogyT9rC7DkvrysUB9+ifqZW77wZq15ag8ttvHCFERMVjYKFqS+sWOnzY7oXy7BK6eFFv0hk6VLauBJasLFliGnAcWAIDgdtvl/2SuoV27pRtr17A++/L/uTJrtfSWDt1SmpT/vrL5nDOzv0YlPs9AMD43ESHbw0JAUaOlP2PPmJgIaLiMbBQtaX90V8kl5Rnl5DWStK4MdC7t+yfOiVBpjh79kiBblSU82WMtW6hH34ovotHCywdOwL33QfccosUk4wY4X7X0OuvAx98APTtCzz7LJCbCwDIe3kajFD4xe9WhPdxELDMHnsMMBhkwJKWeVjDQkSOMLBQteW0hUV74eJFqffwJK07pkMHICxMb04oMoOdk/c5al3RXHstUKeODFletcq1ezAYpIgkPBzYvBl45x3Xvg9AAtSvv8q+ySThpXt3YPFi1PzpawDA17ETYTA4v0SzZsANN8iltLIatrAQkSMMLFRtOQ0soaH6iBZPdwtZhwVAhigDJXcLFVe/ogkIAO68U/addQtZT1rXsaNsGzYE3ntP9l9+WWZ0c8WBA9JNFRgIfPUVUK+e3OfgwTAWFmAlrkVaqytLvIxWfKthYCEiRxhYqNrSuoQOH3Ywf1p5dQuVZ2AB9G6hH3/UJ6eztn+/dNvUrClrEWmGD5d7ycoCPv+8+K+h0VpX+veXrqXdu4HbbrO8/Bqecyl83Hij3g0UEgLUrevalyei6oWBhaqtxo1ltFB2tgyusVEeI4VMJj14uBNYlHI9sPTvL3UuFy867hbS6lc6dJBvXmMwAI8/Lvsffljy0GgAWLJEtjfdJNv69SUoLVqEmf2+wR+4zqV6FD8/qWUBpHWluC4kIqq+GFio2goM1LsfnI4U8mRgOXJE0lFwsB6IrAOLs2nyU1Jk6WOjUV8EyRk/PymiBWSssD37Fh5rw4bJMOcjR/Qw4kxmJrBmjezffLN+3GAABg/G9/73AnC9e2f0aGmkeekl184nouqHgYWqtRJHCpWmhmXjRmmtsB/5o4WFdu30qfVbt5Ygcv68BBNHtNaV5s2lvqYkN94oW0eBxXqEkL3QUODhh2VfG+7szO+/y6RzzZvrn5UVd4coh4VJGYzWo0VEZI+Bhao1p4W31l1C7i4Q+NRTwPTpRZsLHLVuhIToX0sLJvZcGSFkLSFBWlq0olhrxQUWQJo6jEZg5criRy5p9SvWrStmJhOn2Sciz2NgoWqtxKHNaWnuDW2+fBnYskX2P/lEX9kPcB48tOfO6lhcrV/RhIfrc7wsXaofP3cOOHOm+Gs1bqwXzk6f7vgcpYrWr1g5e1bqfQ0Gm+WDiIjKhIGFqjWnXUKhoUCjRk5eLMaWLdJVAkh4efddFBYC//43cHGNk/qRkgpv3Q0sgONuIS0wNWumr2PkiFZ8++WXjie027FDgk9oqBT52tFaV2JiZKQ1EZEnMLBQtea0hQUoXeHtunWybdBAtjNmYPsfF7FgziVEnjd/EXcCS2GhPmW+o0JZZ7TA8scfQE6O7JfUHaTp10/OuXwZ+Oyzoq9rrSsJCbKCpB1tEUN2BxGRJzGwULWmLYB44YKDxoTSDG3WAsvTT0vAyMyEmj4dV0DCSEG9aJlgzZoWWPbskQIQa4cOSeAIDdVv1hUdO0poys7W78nVwFLSEOdi6lcArglEROWDgYWqtZo1geho2Xc6tHnePJlMLSur+IsVFuoL4vTrBzz3HACgzfL3cRXWAwDSYh20kjRvLmOss7L05gmN9cgioxv/uxoMMuc9oHcLuRpYAFmYsU4duZ8XX9TXGEpNlVFQgN6KY4eBhYjKAwMLVXtOu4Wuu07mTDlyRJYVjokBxo51Pnpmzx4gPR2oUUNCwZAhQMuWqJl7Af/FqwCA4+EOAou/P9CmjezbdwuVpn5FY13Hkp/vXtdSSIiMdgKAV18FrrxSAs+yZVJ02749EBvr8K1a5mJgISJPYmChas9p4W2XLsCxY8C0adIdk5EBzJgBdO2qt1ZYWy+tKOjVS0KInx9MEyYCACKRBgDYZXASFhzUsRQWAqmrJbDs8WuPX3+V3ph//nHxG7v+ehnevG8fTn62TEJLWBgQH+/a+599VlqWIiKAxESgWzdg0iR5zUl3EMAhzURUPhhYqNortvA2KgqYMEHqWFaskNWIc3OBmTOLnqvVivTpYzl0tPcwHIP+m/uvS64Hls8+A9LWSmD5z+wOuOUWmcS2Y0cXBy5FREjLCICjo14HAChthWZXGAzAgw8C+/YBd9wh3UJHj8prDoYzAzKcWfsc2cJCRJ7EwELVXrGBRWM0yqiY1+UXP775RgparTkILDv2BOB1TAAA5MMfK0+1dnx9B4Fl48osNIVM/ObfqT26d5f8lJcHzJrl0rdm6RbqC7m3s1FujDTSREcDP/wAfP+9DPXu2lVakRz48UdpiGrQQO/lIiLyBAYWqvacdgk50r+/dKlkZAALF+rHk5Lk4ecH9OxpObxzJ/A5RmB1o/swGS/hyKkgx7W7WmD5+295/+TJiFs7D0Yo5EZEYfn2eti8WR9lPGeOjDoukV1h7JLTLhTcOnPnncCJE8DmzfrSAnY++ki2jzzCOViIyLMYWKja01pYTp8u2mhShNEIjBgh+59/rh/X6lc6d7aZlG3nTiAXwfj76a/wSR0ZNeRwlHTjxsCtt8r+5s3Ayy/jxTOPAgCUVcHtDTdIXrp4EViwwIVvrlMnpPpHWZ7O2drRrYl7HXIyWmnXLmDtWsls2pJERESewsBC1V7t2jKbPVB06R2Hhg+X+o6VK6UoF3DYHQTYjiRu2VL29+93cE2DAfjpJ+DUKWDOHFy4/m5cRAQAIGiw3kri5wc89pjsa60ZxSkwGfGbSYY3m2DAtvwrbHKWJ2llPbfdxin5icjzGFio2jMY9G6hYutYNI0by5BnAPmzv8D99wMXfi4aWNLS9CG+HToArVrJ/oEDxVw7JgYYMQKL7l2AejiHob2Pw/DkOJtTRo6UaVu2bNGXLXLmwAHgZ5MUyKZHt0I2amDmzKLz07lCKRnp/Pjj+rQsmowMWW0ZkPUTiYg8jYGFCC4W3lozdwvlfvIFfv36AiJOmOdLueoqyynanG9xcUBkpB5YHLaw2Nm5EyiEPxr0jCvSBVOvHnD33bLvaLCS/XV+wJ34OPZVhMz9GOHh0oq0bFnJ92Bv+3bgnXdkTcRnnrF97euvgUuX5Hu85hr3r01EVBIGFiLogcXldQ5vvx0ID0fN1ON4Dq/BCIWsBs31aXNRdGJZrUuo2BYWJ++1p7VifPONLCtQ3HVM8MOOm59H8IB+lvIbV7qT7H33nb7/7rt6AbBS+vVGj3Z91DQRkTsYWIjgZpcQIDPBDh0KABiH9wAA20Jt61d27JCtFjqsW1iUcn5ppfTA0qmT43OuvFJey8lBsTUp9sFn1CjZ/vqrXn7jCqVkVDOg93qNGgWsWSOFtnv2yHJHw4e7fk0iIncwsBChFF1CANLvHAkA8IcsDvjt6T7Iy9Nftw8dzZpJ60NGBnD2rPPrJiVJ/UtAgPO5TAwGvZWluJoULTRp99CypUyAqxTw8cfFfXe2du6U1qfgYFms+e67ZeLcO++UpYYA4L779OJlIiJPY2Ahgh5Yjh0DFi8Gfv5ZHr/9JrUZjqzJ7obdaGd5vvxyH/z+u+wXFOhzwGmtG8HB+qz4xdWxaEGnTRsprnXmX/+SgHD4sEzCa+/sWSA5WcKN9VJEWtD59FOZtNcVWnfQjTcCtWpJq07XrrIW4qpV8prWekNEVB5KFVhmzJiB+Ph4BAcHo2fPnti8ebPTc/fs2YM777wT8fHxMBgMeO+994qcU1hYiEmTJqFJkyYICQlBs2bN8Morr0AV125O5EExMdLLU1gIDB4sU6LceqvMQP/QQ47fs269AXMgrSyZwXVxAC0tv9gPHJAwULOmLEOkKXZos5mriyrXqCEz5wOOW0u06zRvLudqbrlFJqxNTQW+/LL4rwFIa4z2fd11l2xDQ2UUdoMG8rx3b+fdV0REnuB2YFmwYAHGjx+PyZMnY9u2bejYsSMGDhyIs07auLOzs9G0aVNMmzYN0VYFidZef/11zJw5Ex9++CH27duH119/HW+88QamT5/u7u0RlYrRCEydKpPMao9u3eS1RYukG8fe2rXAp3gIx7oNwemxUwEYsGiRTJ2vhYX27W0H+bgytNnVwALoc9gtWQJkZrp2HX9/fSHmyZPheOZdK3//LZPdBQVJ2NE0bCi1MIMGAW+/XfK9EhGViXJTjx491JgxYyzPCwsLVUxMjJo6dWqJ723cuLF69913ixy/+eab1ciRI22O3XHHHWrYsGEu31d6eroCoNLT011+D1FxTCalWrVSClBq3jzb17KzlQoIkNcOH1aqoECpqCh5vmSJUhMmyP5jj9m+78MP5figQc6/bvPmcs6KFa7dY4sWcv4339i+dt99cvyVV4q+LydHqSZN5PWXXir+azz/vJx3220l3w8Rkbtc/f3tVgtLXl4eEhMTkZCQYDlmNBqRkJCADRs2lDo09e7dGytXrsQB85+dO3fuxLp163Cj3Too1nJzc5GRkWHzIPIkg0HvArEe0gvI7Pn5+dIl0qSJzEB75536ufYjhDQltbBcuqQX/rrSwlLcPRbXUhMUBEybJvtvvCG1Lo446g4iIvIGtwJLamoqCgsLERUVZXM8KioKyc5+4rng2Wefxb333ovWrVsjICAAnTt3xrhx4zBs2DCn75k6dSrCw8Mtj9jY2FJ/fSJntF/Sv/1m2+Wydq1s+/bV5x3Rzl20SCZZA4rWdWiB5fBhCTz2du2SkBATIxPEuWLIENkuWaIXCOfmAvv2Ob4HzV13SddXVpY+0sfR/Rw4IAFn0CDX7oeIqDz4xCihb7/9FvPmzcP//vc/bNu2DXPnzsVbb72FuXPnOn3PxIkTkZ6ebnmcOHGiAu+Yqov27aVQNjcX+OUX/bh1YNH07QtERcnChGfPFh2dA0jdR0iIjCI6erTo13PWMlOcTp1klFNOjtSUAMDevfI1IiOlwNYRgwF46y3Znz1b3mNPa1254QYZHURE5C1uBZa6devCz88PKSkpNsdTUlKcFtS64umnn7a0srRv3x73338/nnzySUydOtXpe4KCghAWFmbzIPI0g0FvwdB+eRcUAH/9JfvWax36+QF33KE/tx+dA0gBbnEz3rpTcGt9j/bdQtbXKW7m2T59ZNJekwmYMMH2NXYHEZEvcSuwBAYGomvXrli5cqXlmMlkwsqVK9GrV69S30R2djaMduul+Pn5wVSaFdqIPMy6W+jSJRk1c+kSEBZWtAXF+he7s9BR3NDm0gQW66+7ZIl08bhznWnTZOTQL78AS5cC6eny2LxZ7jEw0HZ0EBGRN/i7+4bx48dj+PDh6NatG3r06IH33nsPWVlZGGEeX/nAAw+gYcOGltaRvLw87DW3Nefl5eHUqVPYsWMHatasiebm+dAHDRqEKVOmIC4uDu3atcP27dvxzjvvYOTIkZ76PolKrWNHaS05dEi6XLRyrd69pVXFWt++Unty7pzzsOCs8NZkkpoR7Wu6o3Nnme/lyBEJLe4ElpYtgcceAz78UCaGszdwIGewJSIfUJohSNOnT1dxcXEqMDBQ9ejRQ23cuNHyWv/+/dXw4cMtz48ePaoAFHn079/fck5GRoZ64oknVFxcnAoODlZNmzZVzz//vMrNzXX5njismcrTxIkytPfOO5UaMkT2p0xxfO7bbyvVoIFS+/Y5fv3LL+X9Vv8LKKWUOnBAjgcHK5Wf7/49akOp77pLqdq1ZT8x0bX3nj2rD3O2foSEKLVsmfv3QkTkKld/fxuUqhrTyWZkZCA8PBzp6emsZyGP274d6NJFCmZr1JBZYtessS26ddXmzTI6p0ED4PRp/fj330vXTvfuco67EhNlsjt/f6mz8fOTrqvgYNfer1TRkUt+fkVbkYiIPMnV398+MUqIyNdpI3EuX5awEhgowaI0tBqWM2dsZ9AtzQgha126yJwwBQXyvE0b18MKIMW5gYG2D4YVIvIVDCxELrAeiQNIWHEnDFiLiADq15d96zqW0hbcaqxHNJXlOkREvoiBhchF1mHAejhzaWiFty+9BIwbJw9tqHRZgoYro5SIiCojt0cJEVVXXboALVrIQoDXXlu2a7VvL5PPWU9GBwABAUCHDqW/brdu0nV1+DDQo0fZ7pGIyJcwsBC5yGAAFi6UAtzrry/btSZNkqLby5dtj191VdmGEBsMwE8/ST1Mv35lukUiIp/CUUJERETkNRwlRERERFUGAwsRERH5PAYWIiIi8nkMLEREROTzGFiIiIjI5zGwEBERkc9jYCEiIiKfx8BCREREPo+BhYiIiHweAwsRERH5PAYWIiIi8nkMLEREROTzGFiIiIjI5/l7+wY8RVt0OiMjw8t3QkRERK7Sfm9rv8edqTKBJTMzEwAQGxvr5TshIiIid2VmZiI8PNzp6wZVUqSpJEwmE06fPo1atWrBYDB47LoZGRmIjY3FiRMnEBYW5rHrUlH8rCsOP+uKw8+6YvHzrjie+qyVUsjMzERMTAyMRueVKlWmhcVoNKJRo0bldv2wsDD+468g/KwrDj/risPPumLx8644nvisi2tZ0bDoloiIiHweAwsRERH5PAaWEgQFBWHy5MkICgry9q1UefysKw4/64rDz7pi8fOuOBX9WVeZolsiIiKqutjCQkRERD6PgYWIiIh8HgMLERER+TwGFiIiIvJ5DCwlmDFjBuLj4xEcHIyePXti8+bN3r6lSm3q1Kno3r07atWqhfr16+O2227D/v37bc7JycnBmDFjUKdOHdSsWRN33nknUlJSvHTHVce0adNgMBgwbtw4yzF+1p516tQp3HfffahTpw5CQkLQvn17bN261fK6UgovvPACGjRogJCQECQkJODgwYNevOPKqbCwEJMmTUKTJk0QEhKCZs2a4ZVXXrFZi4afdemsWbMGgwYNQkxMDAwGAxYtWmTzuiuf64ULFzBs2DCEhYUhIiIC//73v3Hp0qWy35wip+bPn68CAwPVnDlz1J49e9TDDz+sIiIiVEpKirdvrdIaOHCg+vzzz9Xu3bvVjh071E033aTi4uLUpUuXLOc89thjKjY2Vq1cuVJt3bpVXXnllap3795evOvKb/PmzSo+Pl516NBBPfHEE5bj/Kw958KFC6px48bqwQcfVJs2bVJHjhxRy5YtU4cOHbKcM23aNBUeHq4WLVqkdu7cqW699VbVpEkTdfnyZS/eeeUzZcoUVadOHfXLL7+oo0ePqu+++07VrFlTvf/++5Zz+FmXzpIlS9Tzzz+vfvzxRwVALVy40OZ1Vz7XG264QXXs2FFt3LhRrV27VjVv3lwNHTq0zPfGwFKMHj16qDFjxlieFxYWqpiYGDV16lQv3lXVcvbsWQVA/fnnn0oppdLS0lRAQID67rvvLOfs27dPAVAbNmzw1m1WapmZmapFixZqxYoVqn///pbAws/asyZMmKD69Onj9HWTyaSio6PVm2++aTmWlpamgoKC1DfffFMRt1hl3HzzzWrkyJE2x+644w41bNgwpRQ/a0+xDyyufK579+5VANSWLVss5/z222/KYDCoU6dOlel+2CXkRF5eHhITE5GQkGA5ZjQakZCQgA0bNnjxzqqW9PR0AEDt2rUBAImJicjPz7f53Fu3bo24uDh+7qU0ZswY3HzzzTafKcDP2tMWL16Mbt264a677kL9+vXRuXNnzJ492/L60aNHkZycbPN5h4eHo2fPnvy83dS7d2+sXLkSBw4cAADs3LkT69atw4033giAn3V5ceVz3bBhAyIiItCtWzfLOQkJCTAajdi0aVOZvn6VWfzQ01JTU1FYWIioqCib41FRUfjnn3+8dFdVi8lkwrhx43DVVVfhiiuuAAAkJycjMDAQERERNudGRUUhOTnZC3dZuc2fPx/btm3Dli1birzGz9qzjhw5gpkzZ2L8+PF47rnnsGXLFjz++OMIDAzE8OHDLZ+po58p/Lzd8+yzzyIjIwOtW7eGn58fCgsLMWXKFAwbNgwA+FmXE1c+1+TkZNSvX9/mdX9/f9SuXbvMnz0DC3nNmDFjsHv3bqxbt87bt1IlnThxAk888QRWrFiB4OBgb99OlWcymdCtWze89tprAIDOnTtj9+7dmDVrFoYPH+7lu6tavv32W8ybNw//+9//0K5dO+zYsQPjxo1DTEwMP+sqjF1CTtStWxd+fn5FRkykpKQgOjraS3dVdYwdOxa//PILVq1ahUaNGlmOR0dHIy8vD2lpaTbn83N3X2JiIs6ePYsuXbrA398f/v7++PPPP/HBBx/A398fUVFR/Kw9qEGDBmjbtq3NsTZt2iApKQkALJ8pf6aU3dNPP41nn30W9957L9q3b4/7778fTz75JKZOnQqAn3V5ceVzjY6OxtmzZ21eLygowIULF8r82TOwOBEYGIiuXbti5cqVlmMmkwkrV65Er169vHhnlZtSCmPHjsXChQvxxx9/oEmTJjavd+3aFQEBATaf+/79+5GUlMTP3U3XXXcddu3ahR07dlge3bp1w7Bhwyz7/Kw956qrrioyRP/AgQNo3LgxAKBJkyaIjo62+bwzMjKwadMmft5uys7OhtFo++vLz88PJpMJAD/r8uLK59qrVy+kpaUhMTHRcs4ff/wBk8mEnj17lu0GylSyW8XNnz9fBQUFqS+++ELt3btXPfLIIyoiIkIlJyd7+9YqrVGjRqnw8HC1evVqdebMGcsjOzvbcs5jjz2m4uLi1B9//KG2bt2qevXqpXr16uXFu646rEcJKcXP2pM2b96s/P391ZQpU9TBgwfVvHnzVGhoqPr6668t50ybNk1FRESon376Sf39999q8ODBHGpbCsOHD1cNGza0DGv+8ccfVd26ddUzzzxjOYefdelkZmaq7du3q+3btysA6p133lHbt29Xx48fV0q59rnecMMNqnPnzmrTpk1q3bp1qkWLFhzWXBGmT5+u4uLiVGBgoOrRo4fauHGjt2+pUgPg8PH5559bzrl8+bIaPXq0ioyMVKGhoer2229XZ86c8d5NVyH2gYWftWf9/PPP6oorrlBBQUGqdevW6pNPPrF53WQyqUmTJqmoqCgVFBSkrrvuOrV//34v3W3llZGRoZ544gkVFxengoODVdOmTdXzzz+vcnNzLefwsy6dVatWOfwZPXz4cKWUa5/r+fPn1dChQ1XNmjVVWFiYGjFihMrMzCzzvRmUspoakIiIiMgHsYaFiIiIfB4DCxEREfk8BhYiIiLyeQwsRERE5PMYWIiIiMjnMbAQERGRz2NgISIiIp/HwEJEREQ+j4GFiIiIfB4DCxEREfk8BhYiIiLyeQwsRERE5PP+Hy+AwZjGbxNwAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_true[1100:1200], color=\"b\")\n",
    "plt.plot(y_pred[1100:1200], color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2011b01f190>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_true[1200:3000], color=\"b\")\n",
    "plt.plot(y_pred[1200:3000], color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ret = np.array([y_true.tolist(),y_pred])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y_true</th>\n",
       "      <th>y_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.639274</td>\n",
       "      <td>0.609617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.626467</td>\n",
       "      <td>0.602773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.598719</td>\n",
       "      <td>0.579470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.530416</td>\n",
       "      <td>0.547835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.495197</td>\n",
       "      <td>0.466238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14986</th>\n",
       "      <td>0.273212</td>\n",
       "      <td>0.273369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14987</th>\n",
       "      <td>0.277481</td>\n",
       "      <td>0.268238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14988</th>\n",
       "      <td>0.265742</td>\n",
       "      <td>0.272380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14989</th>\n",
       "      <td>0.259338</td>\n",
       "      <td>0.263085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14990</th>\n",
       "      <td>0.265742</td>\n",
       "      <td>0.254549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14991 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         y_true    y_pred\n",
       "0      0.639274  0.609617\n",
       "1      0.626467  0.602773\n",
       "2      0.598719  0.579470\n",
       "3      0.530416  0.547835\n",
       "4      0.495197  0.466238\n",
       "...         ...       ...\n",
       "14986  0.273212  0.273369\n",
       "14987  0.277481  0.268238\n",
       "14988  0.265742  0.272380\n",
       "14989  0.259338  0.263085\n",
       "14990  0.265742  0.254549\n",
       "\n",
       "[14991 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ret = pd.DataFrame(ret.T,columns=[\"y_true\",\"y_pred\"])\n",
    "ret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "ret.to_csv(\"./ret.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[[1.],\n",
       "         [1.],\n",
       "         [1.],\n",
       "         [1.],\n",
       "         [1.]]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = torch.tensor([[[1],[1],[1],[1],[1]]],dtype=torch.float32)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[[0.9162]]], grad_fn=<ViewBackward0>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "AI",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
